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Updated: Feb 7, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
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CASNet:具有多尺度和注意力驱动编码的曲率感知心脏MRI细分,用于加强面向风险的结构分析

Yan Du1, Kaisen Huang1, Miaomiao Yue2

  • 1Department of Cardiology, Deyang People's Hospital, Deyang, Sichuan, China.

Frontiers in medicine
|February 6, 2026
PubMed
概括

一个新的U-Net模型CASNet通过改善特征表示和边界平滑性来增强心脏MRI细分. 这种人工智能方法为心血管疾病诊断提供了更准确的分析.

关键词:
心脏MRI细分心脏MRI细分曲率感知损失的情况.深度学习是一种深度学习.医疗图像分析分析多个规模的背景.

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